Evidence map›Paper›PMID 22905954›Full record

ReviewAnnual review of cell and developmental biology2012

Nuclear organization and genome function.

Kevin Van Bortle, Victor G Corces

Abstract readReview
In one paragraph

Review in Annual review of cell and developmental biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed
6.6field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

76 citing papers in PubMed, 117 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. bioRxiv : the preprint server for biology · 2025
    Article
  6. ATRX: From Chromatin Remodeling to Disease.Genesis (New York, N.Y. : 2000) · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Long noncoding RNA,Frontiers in cell and developmental biology · 2024
    Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. Review

16 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Kevin Van BortleDepartment of Biology, Emory University, Atlanta, Georgia 30322, USA.
Victor G Corces
Emory University · US

Funding

MOLECULAR BASIS OF SUPPRESSION IN DROSOPHILAR01GM035463 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI CORCES, VICTOR G. · 1986 to 2020
$10.7M
NIGMS NIH HHS GM35463NIGMS NIH HHS R01 GM035463
6 · The paper itself

Abstract

Long-range interactions between transcription regulatory elements play an important role in gene activation, epigenetic silencing, and chromatin organization. Transcriptional activation or repression of developmentally regulated genes is often accomplished through tissue-specific chromatin architecture and dynamic localization between active transcription factories and repressive Polycomb bodies. However, the mechanisms underlying the structural organization of chromatin and the coordination of physical interactions are not fully understood. Insulators and Polycomb group proteins form highly conserved multiprotein complexes that mediate functional long-range interactions and have proposed roles in nuclear organization. In this review, we explore recent findings that have broadened our understanding of the function of these proteins and provide an integrative model for the roles of insulators in nuclear organization.

Indexed as

AnimalsCell NucleusChromatinDNA-Binding ProteinsGene Expression RegulationGenomeGenomic InstabilityHumansModels, MolecularPromoter Regions, GeneticTranscription, GeneticChromatinDNA-Binding Proteins

Identifiers

PMID22905954
PMCPMC3717390
OpenAlexW2142888030

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.